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Physics-Based Parameter Extraction for InAs Colloidal Quantum Dot Photodiodes

Stage 25 à 36 mois

Leuven (Belgium)

Publiée le 20 octobre 2026

  • Contrat

    Stage 25 à 36 mois

  • Lieu

    Leuven (Belgium)

  • Date de début

    Dès que possible

  • Salaire

    Information non renseignée

  • Télétravail

    Non spécifié

Colloidal quantum dots are promising semiconductor materials for next-generation short-wave infrared (SWIR) photodetectors due to their low-cost processing and tunable optoelectronic properties. However, accurately modeling these devices requires reliable material parameters that cannot be measured directly.

In this project, the student will combine optical and electrical characterization with physics-based modeling to extract the key electronic properties of InAs colloidal quantum dot films. Time-resolved photoluminescence (TRPL) and current-voltage (I-V) measurements will be analyzed using custom fitting algorithms, and the extracted parameters will be implemented in TCAD to develop predictive digital twins of quantum dot photodiodes. The project offers hands-on experience in semiconductor characterization, scientific programming, numerical optimization, and device simulation.

Type of internship: Master internship

Duration: 6-12 months

Required educational background: Nanoscience & Nanotechnology, Electrotechnics/Electrical Engineering, Physics, Other

University promotor: Jan Genoe (KU Leuven)

Supervising scientist(s): For further information or for application, please contact Yigithan Mehmet Kose (< email supprimé pour raison de sécurité >) and Wenya Song (< email supprimé pour raison de sécurité >)

The reference code for this position is 2026-INT-216. Mention this reference code in your application.

Imec allowance will be provided for students studying at a non-Belgian university.

Applications should include the following information:
  • resume
  • motivation
  • current study

Incomplete applications will not be considered.

Date limite de candidature

Tant que l’offre est en ligne

Niveau d'étude

Niveau Master, MSc ou Programme Grande Ecole

Fonction

Technologie

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